scholarly journals A Novel Indoor Positioning Algorithm for Wireless Sensor Network Based on Received Signal Strength Indicator Filtering and Improved Taylor Series Expansion

2019 ◽  
Vol 36 (1) ◽  
pp. 103-108 ◽  
Author(s):  
Jin Ren ◽  
Songyang Huan ◽  
Wei Song ◽  
Jun Han
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Series Expansion ◽  
Taylor Series ◽  
Taylor Series Expansion ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Wireless Sensor ◽  
Received Signal Strength Indicator ◽  
Positioning Algorithm

A Localization Algorithm for Wireless Sensor Network Based on the Weighted Correction in Geometric Measurement

2015 ◽  
Vol 740 ◽  
pp. 823-829
Author(s):  
Meng Long Cao ◽  
Chong Xin Yang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Received Signal Strength Indicator ◽  
Localization Algorithms ◽  
Weighted Centroid Localization ◽  
Geometric Measurement

Firstly, the characteristics of regular Zigbee localization algorithms-the received signal strength indicator algorithm (RSSI) and the weighted centroid localization algorithm are introduced. Then, the factors of the errors existing in the aforementioned algorithms are analyzed. Based on these above, the improved RSSI algorithm-correction geometric measurement based on weighted is proposed. Finally, utilizing this algorithm to design and implement the localization nodes, which have the CC2431 wireless microcontroller on them. The simulation and experimental results show that the accuracy of this localization algorithm improved about 2%, comparing with the regular algorithms.

scholarly journals Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongbin Wang ◽  
Liping Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Transmission Function ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Time Inconsistency ◽  
Wireless Sensor ◽  
Sybil Attack ◽  
Received Signal Strength Indicator ◽  
Sensor Network Security

This paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, different transmission energy will cause it to produce different RSSI readings. Furthermore, this kind of method cannot increase the burden on Wireless Sensor Network (WSN). It conducts an analysis between two receiving nodes, compares RSSI ratios to tickle the problem of time inconsistency of RSSI, and sets a threshold to detect Sybil by the emulation results. Research shows that the ratio value of different receiving nodes by using RSSI can resolve time difference because of the RSSI or unreliability which results from the asymmetry of transmission ratio. The thesis makes a comparison that the number of receiving nodes has an influence on attack effect. Utilizing the RSSI ratio values can exactly detect the Sybil attack. Emulation findings demonstrate that the detection method put forward by the thesis owns better security.

Localization Accuracy Improved Methods for Range-Free Localization Schemes in Wireless Sensor Network

2010 ◽  
Vol 437 ◽  
pp. 462-466
Author(s):  
Jia Wen Hu ◽  
Xiao Fen Yu ◽  
Biao Wang ◽  
Zhi Qiang Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Cost ◽  
Signal Strength ◽  
Wireless Sensor ◽  
Location Information ◽  
Received Signal Strength Indicator ◽  
Localization Accuracy ◽  
Improved Methods ◽  
Range Free

Location information is the most important for wireless sensor network (WSN). Due to the limitation of energy, cost and influence of environment, range-free localization schemes are more suitable for WSN despite of their low localization accuracy. Two methods, which are improved grids SCAN and multiple locating and averaging scheme, are presented to improve localization accuracy of range-free localization schemes and performed through performance evaluation based on ROCRSSI (Ring Overlapping based on Comparison of Received Signal Strength Indicator). By simulation it is concluded that ROCRSSI applying both methods can get better localization performances.

scholarly journals Studi Jarak Jangkauan X-Bee Pro S3b 900 untuk Aplikasi Node Wireless Sensor Network pada Daerah Gunung Api Berbasis Received Signal Strength Indicator (RSSI)

2019 ◽  
Vol 5 (2) ◽  
pp. 93-102
Author(s):  
Rakhmad Gusta Putra ◽  
Dirvi Eko Juliando Sudirman ◽  
Hanifah Nur Kumala Ningrum ◽  
Nur Asyik Hidayatullah
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ieee 802.15.4 ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wireless Sensor ◽  
Received Signal Strength Indicator ◽  
Monitoring Area

Indonesia saat ini memiliki 129 gunung berapi yang aktif dan hanya 69 diantaranya yang baru bisa termonitoring dengan baik. Bencana gunung api dapat dihindari dengan melakukan monitoring yang baik terhadap kondisi gunung api secara menyeluruh sebagai mekanisme peringatan dini bencana. Monitoring area gunung api yang cukup luas menjadi kendala tersendiri dikarenakan titik pemantauan yang banyak. Wireless Sensor Network (WSN) merupakan salah satu sistem yang sesuai untuk melakukan pemantauan dengan jumlah titik sensor yang terdistribusi, fleksibel dan terintegrasi. Secara garis besar, sistem WSN terdiri dari receiver dan node sebagai transmiter. Komunikasi dari node menuju receiver dapat dilakukan langsung ataupun melalui node yang lainnya. Standar komunikasi nirkabel dari WSN untuk desain dan aplikasi mengacu pada IEEE 802.15.4. Perangkat yang mendukung standar ini salah satunya adalah X-Bee. X-Bee memiliki keunggulan dalam hal kemudahan penggunaan, relatif murah dan berdaya rendah. Salah satu hal yang menjadi poin penting dalam aplikasi WSN pada gunung api adalah jarak jangkauan. Dalam penelitian ini akan dilakukan studi jarak jangkauan Xbee Pro S3 900 pada area gunung api Kelud menggunakan RSSI. Dalam penelitian ini digunakan tiga buah node dan satu receiver sebagai perangkat pengambilan data. Tiga node transmitter tersebut di tempatkan pada tempat yang sesuai untuk mengamati kondisi gunung api Kelud. Jarak jangkauan XBee Pro S3B 900 LoS dengan konfigurasi yang dilakukan, didapatkan jarak jangkauan 79,2 m, sedangkan pada eksperimen mencapai 3,78 km pada nilai RSSI -60dBm. Jarak jangkauan rata-rata tiga node kondisi non LoS berdasarkan nilai RSSI -80 dBm adalah 50 m sedangkan dalam eksperimen didapatkan 441 m. Nilai RSSI hasil eksperimen didapatkan hasil lebih baik daripada hasil simulasi.

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